Exploring the suitability of UAS-based multispectral images for estimating soil organic carbon: Comparison with proximal soil sensing and spaceborne imagery
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F21%3A85039" target="_blank" >RIV/60460709:41210/21:85039 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00027073:_____/21:N0000091
Výsledek na webu
<a href="https://www.mdpi.com/2072-4292/13/2/308" target="_blank" >https://www.mdpi.com/2072-4292/13/2/308</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/rs13020308" target="_blank" >10.3390/rs13020308</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Exploring the suitability of UAS-based multispectral images for estimating soil organic carbon: Comparison with proximal soil sensing and spaceborne imagery
Popis výsledku v původním jazyce
Soil organic carbon SOC is a variable of vital environmental significance in terms of soil quality and function, global food security, and climate change mitigation. Estimation of its content and prediction accuracy on a broader scale remain crucial. Although, spectroscopy under proximal sensing remains one of the best approaches to accurately predict SOC, however, spectroscopy limitation to estimate SOC on a larger spatial scale remains a concern. Therefore, for an efficient quantification of SOC content, faster and less costly techniques are needed, recent studies have suggested the use of remote sensing approaches. The primary aim of this research was to evaluate and compare the capabilities of small Unmanned Aircraft Systems UAS for monitoring and estimation of SOC with those obtained from spaceborne Sentinel 2) and proximal soil sensing field spectroscopy measurements on an agricultural field low in SOC content. Nine calculated spectral indices were added to the remote sensing approaches UAS a
Název v anglickém jazyce
Exploring the suitability of UAS-based multispectral images for estimating soil organic carbon: Comparison with proximal soil sensing and spaceborne imagery
Popis výsledku anglicky
Soil organic carbon SOC is a variable of vital environmental significance in terms of soil quality and function, global food security, and climate change mitigation. Estimation of its content and prediction accuracy on a broader scale remain crucial. Although, spectroscopy under proximal sensing remains one of the best approaches to accurately predict SOC, however, spectroscopy limitation to estimate SOC on a larger spatial scale remains a concern. Therefore, for an efficient quantification of SOC content, faster and less costly techniques are needed, recent studies have suggested the use of remote sensing approaches. The primary aim of this research was to evaluate and compare the capabilities of small Unmanned Aircraft Systems UAS for monitoring and estimation of SOC with those obtained from spaceborne Sentinel 2) and proximal soil sensing field spectroscopy measurements on an agricultural field low in SOC content. Nine calculated spectral indices were added to the remote sensing approaches UAS a
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
40104 - Soil science
Návaznosti výsledku
Projekt
<a href="/cs/project/GA17-27726S" target="_blank" >GA17-27726S: Prostorová predikce půdních vlastností a jednotek založená na poloze v krajině a dalších charakteristikách stanoviště</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Remote Sensing
ISSN
2072-4292
e-ISSN
2072-4292
Svazek periodika
13
Číslo periodika v rámci svazku
308
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
19
Strana od-do
0-19
Kód UT WoS článku
000611957800001
EID výsledku v databázi Scopus
2-s2.0-85099774872